Alle Papers – Machine Learning im Gesundheitswesen

Synthetic Sample Selection via Reinforcement Learning

Translating AI for the Clinician

Merits, features, and desiderata to be considered when developing electronic health records with embedded clinical decision support systems in Palestinian hospitals: a consensus study

Protecting patient privacy in survival analyses

Which supervised machine learning algorithm can best predict achievement of minimum clinically important difference in neck pain after surgery in patients with cervical myelopathy? A QOD study

Large Language Models in Medical Diagnostics: Scoping Review With Bibliometric Analysis

Incorporating artificial intelligence in urology: Supervised machine learning algorithms demonstrate comparative advantage over nomograms in predicting biochemical recurrence after prostatectomy

ChatGPT-4 as a journalist: Whose perspectives is it reproducing?

Bias Implications of Outcome Misclassification in Observational Studies Evaluating Association Between Treatments and All‐Cause or Cardiovascular Mortality Using Administrative Claims

Patterns of multimorbidity in primary care electronic health records: A systematic review

Assessing the Readability of Patient Education Materials on Cardiac Catheterization From Artificial Intelligence Chatbots: An Observational Cross-Sectional Study

Multiple Machine Learning Intelligent Approaches for the Heart Disease Diagnosis

Building Computational Models to Predict One-Year Mortality in ICU\n Patients with Acute Myocardial Infarction and Post Myocardial Infarction\n Syndrome

An incremental explanation of inference in Bayesian networks for increasing model trustworthiness and supporting clinical decision making

CGSNet: Contrastive Graph Self-Attention Network for Session-based Recommendation

Status Update on Data Required to Build a Learning Health System

Machine-Learning-Based Diabetes Mellitus Risk Prediction Using Multi-Layer Neural Network No-Prop Algorithm

The Application of Large Language Models for Radiologic Decision Making

Computational Intelligence-Based Diagnosis Tool for the Detection of Prediabetes and Type 2 Diabetes in India

Ambiguity in medical concept normalization: An analysis of types and coverage in electronic health record datasets

A New Paradigm of “Real-Time” Stroke Risk Prediction and Integrated Care Management in the Digital Health Era: Innovations Using Machine Learning and Artificial Intelligence Approaches

A novel tool for visualizing chronic kidney disease associated polymorbidity: a 13-year cohort study in Taiwan

Preprocessing of unstructured medical data: the impact of each preprocessing stage on classification

A NEW TOOL FOR THE RISK STRATIFICATION OF PATIENTS WITH COMPLEX CORONARY ARTERY DISEASE: THE CLINICAL SYNTAX SCORE

Deep Learning Technologies for Time Series Anomaly Detection in Healthcare: A Review